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The Empirical Relation between Credit Quality, Recovery, and Correlation

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Author Info
Daniel Rosch (Leibniz Universitat Hannover)
Harald Scheule (Hong Kong Institute for Monetary Research, The University of Melbourne)
Abstract

The majority of industry credit portfolio risk models, as well as recent scientific results, are based on isolated modules for default probabilities and recoveries in the event of default. This paper shows that these common methods lead to various econometric drawbacks when the parameters are interpreted and aggregated for risk capital allocation and pricing purposes. This paper provides a top down approach in which individual credit risk parameters are derived analytically from a single model. This model allows for a i) dynamic, ii) consistent, and iii) unbiased modeling of credit portfolio risks. An empirical analysis provides evidence for the inferred relationship between credit quality, recovery and correlation.

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Paper provided by Hong Kong Institute for Monetary Research in its series Working Papers with number 222009.

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Length: 38 pages
Date of creation: Jul 2009
Date of revision:
Handle: RePEc:hkm:wpaper:222009

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Related research
Keywords: Asset Value; Correlation; Credit Portfolio; Loss Given Default; Merton Model; Probability of Default; Recovery; Volatility;

Find related papers by JEL classification:
G20 - Financial Economics - - Financial Institutions and Services - - - General
G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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